کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
4973487 1365490 2018 9 صفحه PDF سفارش دهید دانلود کنید
عنوان انگلیسی مقاله
Edge detection in medical images with quasi high-pass filter based on local statistics
ترجمه فارسی عنوان
تشخیص لبه در تصاویر پزشکی با فیلتر شبه بالا گذر بر اساس آمار محلی
کلمات کلیدی
تشخیص لبه؛ تصاویر پزشکی؛ اپراتور WL؛
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی


- A robust, quasi high-pass filter for edge detection in medical images is proposed.
- The formulation of the detector is exploited as a quadratic form of the Toeplitz matrix.
- The detector has an architecture with abundant spatial isotropic symmetricity.

We developed a robust, quasi high-pass filter for edge detection in medical images. The kernel-based algorithm of our detector was similar to that of conventional edge detectors. The proposed edge detector has a mathematical form of local variance and is adaptive in nature. The mathematical formulation of the detector was exploited and re-expressed as a quadratic form of the Toeplitz matrix. The detector has a highly structured internal architecture with abundant spatial isotropic symmetricity. The proposed operator can greatly reduce problems frequently encountered in edge detection including fragmentation, position dislocation, and thinness loss. The detector is robust to noise and can efficiently extract crucial edge features. We named this new operator as the WL operator (Wang and Lin). The performance of the WL operator was compared to that of other edge detectors by using Pratt's figure of merits. In addition, the performance was confirmed with experts by using visual analog scale scores. The results obtained using the WL operator for different medical imaging modalities including X-ray, CT, and MRI are promising. Therefore, the WL operator warrants further investigation.

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ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biomedical Signal Processing and Control - Volume 39, January 2018, Pages 294-302
نویسندگان
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